Dynamic Parcel Aggregation with Clustering
Detecting stable dynamic parcellation in fMRI data on the full brain.
The algorithm is a simple two level clustering, one on sliding time windows, and one on indicator functions of parcels agreggated over many windows. Optionally the approach can be iterated over several runs.
1 maintainer
Release files for dypac 0.7.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| dypac-0.7.1.tar.gz | 13.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| dypac-0.7.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 29.0 kB
Release files / dypac-0.7.1.tar.gz
| Download URL | dypac-0.7.1.tar.gz |
|---|---|
| Size | 13.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
7c5b3e8287c4060f1ae2a79a97cbd6515e1c1026bb86d7f9cb927ae317518318
|
|
BLAKE2b-256 checksum How to use checksums |
c45aa61679f81613b03cc7d15d423632ca7b0d6443e55613e810cdcee5c529fa
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.8.10
|
Release files / dypac-0.7.1-py3-none-any.whl
| Download URL | dypac-0.7.1-py3-none-any.whl |
|---|---|
| Size | 15.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
fbe0de517e1723699c5877845fa3dbe48178387bc93855df6b632d45fe67ff2f
|
|
BLAKE2b-256 checksum How to use checksums |
8faeb385aadf4ebb5eb69083e8768fe0d5c558fb0c62b19449155a83265ee498
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.8.10
|
